Human Motion Interpolation Using Space-Time Registration

Abstract

Human motion interpolation plays an important role in virtual reality and human animation. In this paper, we propose a motion interpolation algorithm with space-time registration. Firstly, time registration based on motion cycles is used to seek the corresponding frames between input motions. Secondly, space registration based on analysis method is employed to align spatially the motion frames. Then the corresponding frames are interpolated according to the interpolation methods of transition and angles, respectively. Finally, we reconstruct the constraints of the resulting motion. Experimental results demonstrate that our algorithm succeeds in interpolating input motions to create new motions with new style.